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approximate_random_variables

Demonstrations for approximate random variables.

autokernel

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

darknet

Convolutional Neural Networks

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deeplearningtutorials

Deep Learning与PyTorch入门实战视频教程

drl

Deep Reinforcement Learning

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gan-ddqn

git_test

learn git and github

gloo

Collective communications library with various primitives for multi-machine training.

glow

Compiler for Neural Network hardware accelerators

happysublime

sublime text tutorial with happypeter

imagenet32_scripts

Scripts for Imagenet 32 dataset

mpi-lu-fact

LU decomposition with MPI

neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

onnx

Open standard for machine learning interoperability

playground-qyb0vqjh

Tech.io playground

psutil

Cross-platform lib for process and system monitoring in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-distributed-example

pytorch-parallel

Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

pytorch_gpu_test

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

shiyanlou

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

yolo-tensorrt

TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.